Refreshed notebooks, particularly with new Week 1

week8/day1.ipynb

@@ -31,6 +31,21 @@
     "import modal"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "ab5c8533-9f66-448f-b9b2-133d1ff50639",
+   "metadata": {},
+   "source": [
+    "# Setting up the modal tokens\n",
+    "\n",
+    "The first time you run this, please uncomment the next line and execute it.  \n",
+    "This is the same as running `modal setup` from the command line. It connects with Modal and installs your tokens.\n",
+    "\n",
+    "A student on Windows mentioned that on Windows, you might also need to run this command from a command prompt afterwards:  \n",
+    "`modal token new`  \n",
+    "(Thank you Ed B. for that!)\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -38,6 +53,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Remove the '# ' from the next line and run the cell\n",
     "# !modal setup"
    ]
   },
@@ -86,7 +102,7 @@
     "\n",
     "1. Go to modal.com, sign in and go to your dashboard\n",
     "2. Click on Secrets in the nav bar\n",
-    "3. Create new secret, click on Hugging Face\n",
+    "3. Create new secret, click on Hugging Face, this new secret needs to be called **hf-secret** because that's how we refer to it in the code\n",
     "4. Fill in your HF_TOKEN where it prompts you\n",
     "\n",
     "### And now back to business: time to work with Llama"
@@ -219,7 +235,7 @@
     "\n",
     "I've added a utility called `keep_warm.py` that will keep our Modal warm by pinging it every 30 seconds.\n",
     "\n",
-    "To use the utliity, bring up a new Terminal (Mac) or Anaconda prompt (Windows), ensure the environment is activated with `conda activate llms\\\n",
+    "To use the utliity, bring up a new Terminal (Mac) or Anaconda prompt (Windows), ensure the environment is activated with `conda activate llms`\n",
     "\n",
     "Then run: `python keep_warm.py` from within the week8 drectory.\n",
     "\n",

week8/day2.1.ipynb

@@ -59,7 +59,7 @@
     "# It is very fun turning this up to 400_000 and seeing the full dataset visualized,\n",
     "# but it almost crashes my box every time so do that at your own risk!! 10_000 is safe!\n",
     "\n",
-    "MAXIMUM_DATAPOINTS = 10_000"
+    "MAXIMUM_DATAPOINTS = 30_000"
    ]
   },
   {
@@ -135,7 +135,7 @@
     "    x=reduced_vectors[:, 0],\n",
     "    y=reduced_vectors[:, 1],\n",
     "    mode='markers',\n",
-    "    marker=dict(size=2, color=colors, opacity=0.7),\n",
+    "    marker=dict(size=3, color=colors, opacity=0.7),\n",
     ")])\n",
     "\n",
     "fig.update_layout(\n",
@@ -148,6 +148,14 @@
     "\n",
     "fig.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5e4ae088-3d29-45d3-87a2-fea805fe2c65",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

week8/day2.2.ipynb

@@ -58,7 +58,7 @@
    "source": [
     "# Turn this up at your own risk! 10_000 is safe..\n",
     "\n",
-    "MAXIMUM_DATAPOINTS = 10_000"
+    "MAXIMUM_DATAPOINTS = 20_000"
    ]
   },
   {